AI Readiness Survey
Complete the survey to benchmark your organization’s readiness for real world AI adoption across data, systems, teams and leadership.
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Unlock Your Insights
• Personalized AI Maturity Report
An executive-level assessment of your organization’s AI readiness across data foundations, leadership alignment, infrastructure, skills, and use case clarity.
• Actionable Next Steps
Practical recommendations tailored to your results, focused on moving from pilots into scalable AI programs that drive real operational and business value.
• Free Expert Consultation
A one-on-one strategy session with a Customertimes AI specialist to review your results, identify high-impact opportunities, and define your next 90-day AI roadmap.
• Free Book Chapter
Exclusive access to a chapter from Leading with AI Agents by Reddy Mallidi a practical guide for leaders transitioning from AI experimentation to enterprise-scale transformation.
Featured Resource: Leading with AI Agents by Reddy Mallidi
This executive playbook provides a practical roadmap for leaders who are ready to move beyond pilot projects toward building real, scalable AI operations.
The book focuses on agent-driven orchestration, intelligent process automation, and governance models needed to deploy AI responsibly across customer experience, operations, and service ecosystems.
This executive playbook provides a practical roadmap for leaders who are ready to move beyond pilot projects toward building real, scalable AI operations.
The book focuses on agent-driven orchestration, intelligent process automation, and governance models needed to deploy AI responsibly across customer experience, operations, and service ecosystems.
Key Trends in AI Adoption
Organizations are increasingly investing in AI, but readiness varies widely. Our survey reveals that while 70% of enterprises have started AI initiatives, only a fraction report having fully integrated strategies.
Leaders highlight data quality, talent, and alignment with business objectives as the top factors influencing AI readiness. Understanding these trends helps organizations prioritize where to invest resources for maximum impact.
Organizations are increasingly investing in AI, but readiness varies widely. Our survey reveals that while 70% of enterprises have started AI initiatives, only a fraction report having fully integrated strategies.
Leaders highlight data quality, talent, and alignment with business objectives as the top factors influencing AI readiness. Understanding these trends helps organizations prioritize where to invest resources for maximum impact.
Challenges and Opportunities
Despite the excitement around AI, many companies face hurdles in scaling AI projects. Common challenges include fragmented data systems, lack of internal expertise, and unclear ROI expectations.
However, those that overcome these obstacles report significant gains in efficiency, innovation, and decision-making. The survey provides actionable insights for organizations looking to strengthen AI capabilities while avoiding common pitfalls.
Despite the excitement around AI, many companies face hurdles in scaling AI projects. Common challenges include fragmented data systems, lack of internal expertise, and unclear ROI expectations.
However, those that overcome these obstacles report significant gains in efficiency, innovation, and decision-making. The survey provides actionable insights for organizations looking to strengthen AI capabilities while avoiding common pitfalls.
Why Customertimes?
Real-World AI, Not Just Ideas
We design and deploy AI solutions that move beyond experimentation into real business impact — built to perform securely and reliably at scale.
Enterprise-Grade Experience
With 15+ years of enterprise delivery, we know how to operationalize AI across complex, global organizations.
End-to-End AI Implementation
From strategy and data readiness to deployment and optimization, we manage the full AI lifecycle to ensure your solutions actually deliver value.
Measured Business Outcomes
Our clients see improved efficiency, fewer errors, and better decision-making driven by AI that’s built for real-world operations.